Evidence map›Paper›PMID 37814035›Full record

ArticleInternational archives of occupational and environmental health2023

Health inequalities among young workers: the mediating role of working conditions and company characteristics.

Marvin Reuter, Claudia R Pischke, Mariann Rigo, Katharina Diehl, Jacob Spallek, Matthias Richter, Claudia Hövener, Nico Dragano

Abstract read
In one paragraph

Article in International archives of occupational and environmental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Marvin ReuterJunior Professorship for Sociology, esp. Work and Health, Department of Sociology, University of Bamberg, Feldkirchenstraße 21, 96045, Bamberg, Germany. marvin.reuter@uni-bamberg.de.ORCID 0000-0002-8197-3618
Claudia R PischkeInstitute of Medical Sociology, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Duesseldorf, 40225, Duesseldorf, Germany.
Mariann RigoInstitute of Medical Sociology, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Duesseldorf, 40225, Duesseldorf, Germany.
Katharina DiehlDepartment of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology and Public Health, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany.
Jacob SpallekDepartment of Public Health, Brandenburg University Cottbus-Senftenberg, 01968, Senftenberg, Germany.
Matthias RichterDepartment of Sport and Health Science, Technical University of Munich, 80992, Munich, Germany.
Claudia HövenerUnit of Social Determinants of Health, Robert Koch Institute, Nordufer 20, 13353, Berlin, Germany.
Nico DraganoInstitute of Medical Sociology, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Duesseldorf, 40225, Duesseldorf, Germany.

Funding

Deutsche Forschungsgemeinschaft DR751/1-1Deutsche Forschungsgemeinschaft PI1449/2-1Deutsche Forschungsgemeinschaft RI2467/8-1Deutsche Forschungsgemeinschaft RI2467/9-1Deutsche Forschungsgemeinschaft SP1495/4-1
6 · The paper itself

Abstract

objectiveFew studies have investigated health inequalities among young workers. The objectives of this study are to assess the extent of health inequalities in a sample of job starters and to explore the contribution of job demands and organisational factors.

methodsWe analyze data from the BIBB/BAuA Youth Employment Survey 2012. The cross-sectional survey includes a representative sample of 3214 German employees, apprentices, and trainees aged 15-24 years. Individuals were grouped by their years of schooling into low (< 12 years) and high levels of education (≥ 12 years). Regression analysis estimated the link between education and four health outcomes: self-rated health, number of health events, musculoskeletal symptoms, and mental health problems over the last 12 months. Counterfactual mediation analysis tested for indirect effects of education via working conditions (i.e., physical and psychosocial job demands) and company characteristics (i.e., company size, health prevention measures, financial situation, downsizing). All analyses were adjusted for age, sex, nationality, region, working hours, job tenure, employment relationship, and economic sector.

resultsHighly educated workers reported better self-rated health (b = 0.24, 95% CI 0.18-0.31) and lower numbers of health events (Rate Ratio (RR) = 0.74, 95% CI 0.67-0.82), musculoskeletal symptoms (RR = 0.73, 95% CI 0.66-0.80) and mental health problems (RR = 0.84, 95% CI 0.76-0.93). Total job demands explained between 21.6% and 87.2% of the educational differences (depending on health outcome). Unfavourable company characteristics were associated with worse health, but showed no or only small mediation effects.

conclusionsHealth inequalities are already present at the early working career due to socio-economically stratified working hazards. To enhance prevention measures that aim at reducing inequalities in workplace health, we propose shifting attention towards earlier stages of life.

Indexed as

OccupationsWorking ConditionsAdolescentCross-Sectional StudiesEmploymentHumansWorkplaceCompany levelHealth inequalitiesJob demandsMediationSocio-economic positionYoung workers

Identifiers

PMID37814035
PMCPMC10635983

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.